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Why Many Human Conceptions Don’t Last Until Birth

While estimates of total pregnancy losses vary considerably, about 15% of known pregnancies end in miscarriage, and many other conceptions do not survive past the very early stages of pregnancy. The primary cause for these losses is chromosomal abnormalities, like extra or absent chromosomes. Scientists have now analyzed data collected from over 140,000 IVF embryos to identify genetic differences that can increasethe risk of pregnancy loss. This work showed that there are certain genetic variants in some women that increase the risk of miscarriage. These findings, which were reported in Nature, may help scientists develop new methods to reduce the risk of pregnancy loss.

“This work provides the clearest evidence to date of the molecular pathways through which variable risk of chromosomal errors arises in humans,” said senior study author Rajiv McCoy, a computational biologist at Johns Hopkins University. “These insights deepen our understanding of the earliest stages of human development and open the door for future advances in reproductive genetics and fertility care.”

We Learned a Bit More About How Human Brains Became So Complex

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Hello and welcome! My name is Anton and in this video, we will talk about a few studies that explain how the human brain developed complexity.
Links:
https://linkinghub.elsevier.com/retrieve/pii/S0092867423009170
https://www.science.org/doi/10.1126/science.ade5645
https://www.biorxiv.org/content/10.1101/2024.05.01.592020v5.full.pdf.
https://www.science.org/doi/10.1126/science.abm1696
https://www.nature.com/articles/s41559-022-01925-6
https://www.microbiologyresearch.org/content/journal/mgen/10…01322#tab2
Other videos:
https://www.youtube.com/watch?v=qyMbXCzcS0k.
https://www.youtube.com/watch?v=e10yOoP-x3g.

#brain #biology #evolution.

0:00 Discoveries about the evolution of the brain.
1:20 800 Million years ago… how it all began.
3:10 Did nervous system evolve multiple times? Comb jellies.
4:45 Big brains — primates vs octopuses.
9:20 Human brains and human intelligence genes.
11:20 Gut microbes and fuel for the brain.
12:20 Conclusions and implications.

Enjoy and please subscribe.

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What Ultimately Is There? Metaphysics and the Ruliad

Stephen Wolfram shares surprising new ideas and results from a scientific approach to metaphysics. Discusses time, spacetime, computational irreducibility, significance of the observer, quantum mechanics and multiway systems, ruliad, laws of nature, objective reality, existence, mathematical reality.

Neural and computational mechanisms underlying one-shot perceptual learning in humans

In one-shot perceptual learning, what we see can be dramatically altered by a single past experience. Using psychophysics, fMRI, iEEG, and DNNs, the authors identify neural and computational mechanisms underlying this remarkable ability in humans.

Quantum computers will finally be useful: what’s behind the revolution

Mikhail Lukin’s team at Harvard presented a “universal” design for neutral-atom processors with robust error-correction capabilities using just 448 qubits, alongside a 3,000-qubit processor that can run for hours.

As Lukin notes: “These are really new kinds of instruments—by some measures, they’re not even computers… What’s really exciting is that these systems are now working already at a reasonable scale and we can start experimenting with them to figure out what we can do with them.”


A string of surprising advances suggests usable quantum computers could be here in a decade.

Surgery for quantum bits: Bit-flip errors corrected during superconducting qubit operations

Quantum computers hold great promise for exciting applications in the future, but for now they keep presenting physicists and engineers with a series of challenges and conundrums. One of them relates to decoherence and the errors that result from it: bit flips and phase flips. Such errors mean that the logical unit of a quantum computer, the qubit, can suddenly and unpredictably change its state from “0” to “1,” or that the relative phase of a superposition state can jump from positive to negative.

These errors can be held at bay by building a logical qubit out of many physical qubits and constantly applying error correction protocols. This approach takes care of storing the quantum information relatively safely over time. However, at some point it becomes necessary to exit storage mode and do something useful with the qubit—like applying a quantum gate, which is the building block of quantum algorithms.

The research group led by D-PHYS Professor Andreas Wallraff, in collaboration with the Paul Scherrer Institute (PSI) and the theory team of Professor Markus Müller at RWTH Aachen University and Forschungszentrum Jülich, has now demonstrated a technique that makes it possible to perform a quantum operation between superconducting logical qubits while correcting for potential errors occurring during the operation. The researchers have just published their results in Nature Physics.

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